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Introduction
User Guide
How-to guides
API
Reference guides
Tutorials
Explanations

vimseo

Introduction
Introduction
User Guide
User Guide
- Installation for developers
- Command line interface
How-to guides
How-to guides
- Runnable examples
  Runnable examples
  - Use a model
    
    Use a model
    
    A model composition that adds a post-processor to a model.
    
    Usage of the BendingTestAnalytical
    
    Patch a pre-processor to apply transformation on input variables.
    
    Visualize and compare model results
    
    Manage model results
  - Verify a model versus data
    
    Verify a model versus data
    
    Usage of the model-versus-data code verification tool on a Finite-Element (Abaqus) model
  - Verify a model versus another model
    
    Verify a model versus another model
    
    Usage of the model-to-model solution verification tool on a Finite-Element (Abaqus) model
  - Verify model solution regarding mesh discretization
  - Run a Validation Point
    
    Run a Validation Point
    
    An example of stochastic validation point
  - Run a Validation Case
    
    Run a Validation Case
    
    Read an experimental data as a GEMSEO Dataset
    
    Generating synthetic model output data for examples, tests or mock studies.
    
    Deterministic validation case on the bending test analytical beam model against an analytical solution
    
    Deterministic validation case on a mock model
    
    How to define and run a stochastic validation case.
  - Calibrate model parameters
    
    Calibrate model parameters
    
    Usage of the model calibration based on curve outputs
    
    Usage of the model calibration for several load cases in the same step
    
    Usage of the model calibration based on scalar outputs
  - Run sensitivity analysis
    
    Run sensitivity analysis
    
    Usage of the SensitivityTool
  - Build and select a surrogate model
    
    Build and select a surrogate model
    
    Usage of the SurrogateTool for semi-analytical beam Model
  - Propagate uncertainties through a model
    
    Propagate uncertainties through a model
    
    1) Usage of the Uncertainty Quantification
  - Use Bayesian inference to estimate the probability distribution of samples
    
    Use Bayesian inference to estimate the probability distribution of samples
    
    Usage of Bayesian inference
- Run a study
- Integrate new models
- Define a Space of Parameters
API
API
- Api
- Config
  Config
- Core
  Core
  - Base component
  - Base discipline model
  - Base integrated model
  - Factory
  - Gemseo discipline wrapper
  - Inputs handler
  - Load
  - Load case
  - Load case factory
  - Model composition
  - Model description
  - Model factory
  - Model metadata
  - Model result
  - Model settings
  - Pre run post model
  - Components
    
    Components
    
    Component factory
    
    Discipline wrapper component
    
    External software component
    
    Library file
    
    Post
    
    Post
    
    Post processor
    
    Pre
    
    Pre
    
    Pre processor
    
    Run
    
    Run
    
    Run processor
    
    Subroutines
    
    Subroutines
    
    Subroutine wrapper
    
    Subroutine wrapper factory
- Direct measures
  Direct measures
- Io
  Io
  - Base tool io
  - Io factory
  - Space io
  - Test data
    
    Test data
    
    Dataset
    
    Space tool
- Job executor
  Job executor
  - Base executor
  - Base interactive executor
  - Base job options
  - Base user job options
  - Job executor factory
  - Job scheduler
    
    Job scheduler
    
    Base job scheduler executor
- Lib vimseo
  Lib vimseo
  - Solver utilities
- Material
  Material
- Material lib
- Problems
  Problems
  - Beam analytic
    
    Beam analytic
    
    Bending test analytical
    
    Post bending test analytical
    
    Pre bending test analytical
    
    Reference dataset builder
    
    Run bending test analytical
  - Beam explicit
    
    Beam explicit
    
    Analytical laws
    
    Reference dataset builder
  - Load cases
    
    Load cases
    
    Beam
    
    Dummy
    
    Mock
  - Mock
    
    Mock
    
    Mock component
    
    Mock component
    
    Mock component
    
    Mock convergence
    
    Mock convergence
    
    Mock convergence
    
    Mock curves
    
    Mock curves
    
    Mock curves
    
    Mock fields
    
    Mock fields
    
    Mock fields
    
    Fields
    
    Mock model persistent
    
    Mock model persistent
    
    Mock model persistent
    
    Mock pre run post
    
    Mock pre run post
    
    Mock components lc1
    
    Mock components lc2
    
    Mock main
    
    Mock with material
    
    Mock reference data
    
    Mock reference data
    
    Mock main reference functions
    
    Output data
  - Sandbox
    
    Sandbox
    
    Models
- Storage management
  Storage management
- Tools
  Tools
  - Base analysis tool
  - Base composite tool
  - Base metadata
  - Base result
  - Base settings
  - Base tool
  - Metadata
  - Model tool
  - Serializer
  - Tool results factory
  - Tools factory
  - Bayes
    
    Bayes
    
    Bayes analysis
    
    Bayes analysis result
  - Calibration
    
    Calibration
    
    Calibration metrics
    
    Calibration step
    
    Calibration step result
    
    Direct measure calibration step
    
    Direct measures result
    
    Input data
  - Design value
    
    Design value
    
    Design value result
    
    Design value tool
  - Doe
    
    Doe
    
    Custom doe
    
    Doe
    
    Doe result
  - Io
    
    Io
    
    Base reader file
    
    Base reader file settings
    
    Dataset result
    
    Material result
    
    Reader file dataframe
    
    Reader file dataset
    
    Reader file result
    
    Reader material
    
    Reader parameter space
    
    Reader tools factory
  - Lib
    
    Lib
    
    One at a time
    
    Run from yaml
    
    Space builder factory
    
    Space builders
    
    Visualisation
    
    Visualisation
    
    Generic layout
    
    Utils
    
    Identity
  - Mock
    
    Mock
    
    Mock tool
  - Post tools
    
    Post tools
    
    Base plot
    
    Calibration plots
    
    Distribution comparison plot
    
    Error scatter matrix plot
    
    Line plot
    
    Metric bar plot
    
    Parallel coordinates plot
    
    Plot factory
    
    Plot parameters
    
    Plot result
    
    Predict vs true plot
    
    Sensitivity plot factory
    
    Sensitivity plots
    
    Verification case plots
    
    Verification plots
  - Sensitivity
    
    Sensitivity
    
    Sensitivity
    
    Sensitivity result
  - Space
    
    Space
    
    Random variable interface
    
    Space tool
    
    Space tool result
  - Statistics
    
    Statistics
    
    Statistics result
    
    Statistics tool
  - Surrogate
    
    Surrogate
    
    Surrogate
    
    Surrogate result
  - Validation
    
    Validation
    
    Validation point
    
    Validation point reference
    
    Validation point result
    
    Test data
  - Validation case
    
    Validation case
    
    Validation case
    
    Validation case result
  - Verification
    
    Verification
    
    Base verification
    
    Solution verification
    
    Solution verification case
    
    Solution verification indicators
    
    Verification result
    
    Verification vs data
    
    Verification vs model
    
    Verification vs model from parameter space
- Utilities
  Utilities
  - Cache manipulator
  - Cache viewer
  - Curves
  - Curves generator
  - Datasets
  - Distribution
  - Distribution utils
  - Encoded to numerical vectors
  - Failed imports
  - Fields
  - File utils
  - Generate material description table
  - Generate validation reference
  - Json grammar utils
  - List utils
  - Loading component unitcell
  - Model data
  - Plotting utils
  - Portable path
  - Pytest conftest
  - Sklearn estimator wrapper
  - Test utils
  - Doc
    
    Doc
    
    Deactivate examples
    
    Generate model gallery
  - Metrics
    
    Metrics
    
    Error metrics
  - Sandbox
    
    Sandbox
    
    Job bundle
    
    Save parser
- Workflow
  Workflow
Reference guides
Reference guides
Tutorials
Tutorials
- VVUQ study
Explanations
Explanations
- Model Integration
- Model Validation
- Conference abstracts
  Conference abstracts
  - ASME 2025
  - ECCOMAS 2024

Sensitvity study¶

Sensitivity analysis methodology OpfmCube sensitivity analysis OpfmPlate OH sensitivity analysis

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